Thesis Abstract

Abstract
This thesis investigates the application of Building Information Modelling (BIM) in the realms of cost estimation and value engineering within construction projects. The primary objective is to explore how BIM technologies can enhance the accuracy of cost estimation and facilitate value engineering practices in construction. Through a comprehensive case study approach, the research delves into the practical implementation of BIM tools and methodologies to optimize cost management processes and enhance project value. The Introduction sets the context by highlighting the increasing significance of BIM in the construction industry and the challenges associated with traditional cost estimation methods. The Background of Study section provides a detailed overview of BIM principles, cost estimation techniques, and value engineering concepts, laying the foundation for the research. The Problem Statement identifies the gaps in current practices and emphasizes the need for a more integrated approach to cost management and value optimization in construction projects. The Objectives of Study section outlines the specific goals of the research, focusing on evaluating the effectiveness of BIM in improving cost estimation accuracy and supporting value engineering decisions. The Limitations of Study acknowledge the constraints and potential challenges that may impact the research outcomes, ensuring transparency in the research process. The Scope of Study defines the boundaries of the research, specifying the project types, BIM applications, and cost estimation methods included in the analysis. The Significance of Study highlights the potential benefits of integrating BIM into cost estimation and value engineering processes, emphasizing the opportunities for improved project outcomes and enhanced decision-making capabilities. The Structure of the Thesis provides a roadmap for the reader, outlining the organization of chapters and key sections within the research document. The Definition of Terms clarifies the key concepts and terminology used throughout the thesis, ensuring a common understanding of critical terms and principles. In Chapter Two, the Literature Review critically examines existing research and industry practices related to BIM, cost estimation, and value engineering, synthesizing key insights and identifying gaps for further investigation. Chapter Three presents the Research Methodology, detailing the research design, data collection methods, and analytical techniques employed in the study. Key components include the selection of the case study project, data sources, and tools used for analysis. Chapter Four offers an in-depth Discussion of Findings, presenting the results of the case study analysis and exploring the impact of BIM on cost estimation accuracy and value engineering practices. The chapter evaluates the effectiveness of BIM tools in enhancing project performance and optimizing cost management strategies. Finally, Chapter Five provides a comprehensive Conclusion and Summary of the research, highlighting key findings, implications for practice, and recommendations for future research in the field of BIM-enabled cost estimation and value engineering in construction projects. Overall, this thesis contributes to the growing body of knowledge on the application of BIM in construction project management, offering valuable insights into the potential benefits of leveraging BIM technologies for cost estimation and value engineering. The research findings have implications for industry practitioners, policymakers, and researchers seeking to enhance project efficiency, cost-effectiveness, and value creation through the adoption of innovative digital technologies like BIM.

Thesis Overview

The research project titled "Utilization of Building Information Modelling (BIM) for Cost Estimation and Value Engineering in Construction Projects: A Case Study" aims to investigate and explore the potential benefits of leveraging Building Information Modelling (BIM) technology in the realm of cost estimation and value engineering within construction projects. This study seeks to address the increasing need for more efficient and accurate cost estimation methods, as well as the growing emphasis on value engineering to optimize project outcomes. The construction industry is constantly evolving, and the adoption of BIM has become a significant trend in recent years due to its potential to revolutionize project planning, design, construction, and management processes. By integrating BIM into cost estimation practices and value engineering strategies, this research seeks to enhance decision-making processes, improve cost predictability, and maximize project value. Through a detailed case study approach, this research will examine real-world applications of BIM in construction projects to demonstrate its effectiveness in enhancing cost estimation accuracy and value engineering outcomes. The study will explore how BIM technology can streamline the cost estimation process, facilitate collaboration among project stakeholders, and enable more informed decision-making throughout the project lifecycle. Key areas of focus will include evaluating the impact of BIM on cost estimation reliability, identifying opportunities for value engineering through BIM analysis, and assessing the overall benefits and challenges associated with integrating BIM into traditional construction practices. The research will also investigate the implications of BIM implementation on project performance, cost control, and value optimization. By delving into the practical implications of utilizing BIM for cost estimation and value engineering, this research aims to contribute valuable insights to the construction industry and provide recommendations for enhancing project efficiency, cost-effectiveness, and value delivery. Ultimately, this study seeks to advance the understanding of how BIM technology can be leveraged to improve cost estimation accuracy and optimize project value in construction projects.